基于遥感影像构建大运河沿线土地利用数据库

Study on the Construction of Land Use Database of Grand Canal Based on Remote Sensing Images

在京杭大运河的影像数据库基础之上,以SPOT5影像为主要数据,首先,进行图像处理如几何纠正、图像融合、图像镶嵌;然后分地区建立不同类型的影像解译标志库;在此基础上进行人机交互解译;解译完之后进行矢量化后处理,检查数据的质量,接着执行图层拼接与接边处理的操作,最后利用ArcCatalog工具完成数据的入库,构建京杭大运河沿线2 km范围内1∶5万精度的土地利用数据库。结果显示,采用上述技术路线进行数据库的建设是行之有效的,它具有周期短、效率高、准确等特点。

Based on the image database of Grand canal,taking spot5 image as the main data,First,image processing such as geometric correction,image fusion,image mosaics is carried out;then different types of image signs in different regions are established;On this basis interactive interpretation is executed;After that the post-processing of vector data and quality inspection are expected;And if there is no problem with the data,stitching layers and edge treatment should be treated.Finally,the land use database of the grand canal within two kilometers is constructed at the scale 1∶50000 by importing all the data with ArcCatalog.The result shows that it＇s effective to construct the land use database using the technology route shown above.It has a series of characteristics such as short cycle,high efficiency,accuracy and so on.